On principal graphical models with application to gene network. - Kyongwon Kim (Comput. Stat. Data Anal., 2022)

On cross-distance selection algorithm for hybrid sufficient dimension reduction. - Yujin Park; Kyongwon Kim; Jae Keun Yoo (Comput. Stat. Data Anal., 2022)

On a nonlinear extension of the principal fitted component model. - Jun Song; Kyongwon Kim; Jae Keun Yoo (Comput. Stat. Data Anal., 2023)

On Sufficient Graphical Models. - Bing Li; Kyongwon Kim (J. Mach. Learn. Res., 2024)

Nonlinear Functional Sufficient Dimension Reduction via Principal Fitted Components. - Minjee Kim; Yujin Park; Kyongwon Kim; Jae Keun Yoo (Stat. Comput., 2025)

On sufficient dimension reduction methods based on a graphical model with non-concave penalty. - Yujin Park; Kyongwon Kim; Jae Keun Yoo (Stat. Comput., 2025)

Sparse sufficient dimension reduction for directional regression. - Gayun Kwon; Gijeong Noh; Kyongwon Kim (J. Big Data, 2025)

Multivariate response directional regression: a projective resampling approach. - Ahreum Lee; Kyongwon Kim (J. Big Data, 2025)

On the bias of commercial insurance premiums. - Minji Park; Minjeong Park; Kyongwon Kim; Kyuri Jo; Jae Youn Ahn (J. Comput. Appl. Math., 2026)